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Sharing information with AI (versus a human) impairs brand trust: The role of audience size inferences and sense of exploitation

  • Deniz Lefkeli
  • , Zeynep Gurhan-Canli
  • Luiss University
  • Koc University

Research output: Contribution to journalArticlepeer-review

Abstract

This research examines whether and why disclosing information to AI as opposed to humans influences an important brand-related outcome—consumers’ trust in brands. Results from two pilot studies and nine controlled experiments (n = 2,887) show that consumers trust brands less when they disclose information to AI as opposed to humans. The effect is driven by consumers’ inference that AI shares information with a larger audience, which increases consumers’ sense of exploitation. This, in turn, decreases their trust in brands. In line with our theorizing, the effect is stronger among consumers who are relatively more concerned about the privacy of their data. Furthermore, the negative consequences for brands can be mitigated when (1) customers are informed that the confidentiality of their information is protected, (2) AI is anthropomorphized, and (3) the disclosed information is relatively less relevant.

Original languageEnglish
Pages (from-to)138-155
Number of pages18
JournalInternational Journal of Research in Marketing
Volume41
Issue number1
Publication statusPublished - Mar 2024

Funding

This research has been funded by Migros Chair Funds. The authors thank research assistants and graduate students at the Koç University Behavioral Lab.

Funders
Koç Üniversitesi

    Keywords

    • Artificial intelligence
    • Audience size
    • Brand trust
    • Consumer-technology interaction
    • Information disclosure
    • Sense of exploitation

    ASJC Scopus subject areas

    • Marketing

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